Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15539
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dc.contributor.advisorJANSSENS, Davy-
dc.contributor.authorDupont, Gertjan-
dc.date.accessioned2013-10-01T14:47:33Z-
dc.date.available2013-10-01T14:47:33Z-
dc.date.issued2013-
dc.identifier.urihttp://hdl.handle.net/1942/15539-
dc.description.abstractIn this thesis is the number of possible alternative locations that an individual can reach within his current space-time prism investigated. Not all the trips are taken into account, only: shopping, leisure, education, services and work activities. Because it wasn't easy to find alternatives for the other trip purposes. The method that is used to analyse this, is a method based on the methods of Lee, Yoon et al. and Miller H.J.. The data provided for this analysis are derived from the OVG 3 (Onderzoek Verplaatsingsgedrag 3) and the analysis is done with the open source program QGIS based on a sample of one hundred respondents from the OVG 3. After filtering this sample 80 respondents left, these contain all the useful information that was required, such as ordinates. On this sample we performed some analyses like the influence of the distance on the number of alternative locations, influence of transportation mode, influence of the time of the day and if the area respondents live-
dc.format.mimetypeApplication/pdf-
dc.languagenl-
dc.language.isoen-
dc.publisherUHasselt-
dc.titleSpace-temporal decision making in transport-
dc.typeTheses and Dissertations-
local.bibliographicCitation.jcatT2-
dc.description.notesmaster in de verkeerskunde-mobiliteitsmanagement-
local.type.specifiedMaster thesis-
item.fulltextWith Fulltext-
item.contributorDupont, Gertjan-
item.accessRightsOpen Access-
item.fullcitationDupont, Gertjan (2013) Space-temporal decision making in transport.-
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